=Paper=
{{Paper
|id=Vol-2658/keynote1
|storemode=property
|title=Entitymetrics 2.0: Measuring the Impact of Entities and Relations Extracted from Scientific Documents
|pdfUrl=https://ceur-ws.org/Vol-2658/keynote1.pdf
|volume=Vol-2658
|authors=Min Song
|dblpUrl=https://dblp.org/rec/conf/jcdl/Song20
}}
==Entitymetrics 2.0: Measuring the Impact of Entities and Relations Extracted from Scientific Documents==
<pdf width="1500px">https://ceur-ws.org/Vol-2658/keynote1.pdf</pdf>
<pre>
            EEKE 2020 - Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents




         Entitymetrics 2.0: Measuring the Impact of Entities and
                  Relations Extracted from Scientific Documents

                                                        Min Song

                                            Yonsei University, South Korea
                                               min.song@yonsei.ac.kr


     Abstract

     Since the concept of entitymetrics was first introduced in 2013, entitymetrics has been
     applied to measure the impact of entities as well as to gauge the knowledge usage and
     transfer anchored on entities for knowledge discovery. This concept extends
     informetrics by quantifying the importance of various types of entities such as concept,
     dataset, and domain entities buried in a large amount of full-text collections.
     Entitymetrics uses entities for knowledge usage as well as discovery. We claim that it
     is the next generation of content-based citation analysis in that it aims to utilize
     entities to create a knowledge graph for scientific discovery where entities are
     connected to each other either by citation or predicate relation. In this talk, the
     previous studies employing entitiymetrics are summarized and the limitations of the
     current approaches are discussed. In addition, the future directions of entitymetrics are
     suggested.




Copyright 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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